The memoria package quantifies ecological memory in long time-series involving environmental drivers and biotic responses. It uses Random Forest models to measure the relative importance of endogenous memory (effect of past response values), exogenous memory (effect of past driver values), and concurrent effects (synchronic driver influence).
Installation
Install from CRAN:
install.packages("memoria")Or the development version from GitHub:
devtools::install_github("BlasBenito/memoria")Getting Started
- Working with memoria: Complete workflow from raw data to memory features
- Function Reference: Documentation for all exported functions
How to cite memoria
If you use memoria in your research, please cite both the package and the associated paper:
Paper:
Benito, B.M., Gil-Romera, G., & Birks, H.J.B. (2020). Ecological memory at millennial time-scales: the importance of data constraints, species longevity, and niche features. Ecography, 43(1), 1-10. doi: 10.1111/ecog.04772
R package:
Benito, B.M. (2025). memoria: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series. R package version 1.1.0. doi: 10.32614/CRAN.package.memoria